2024 International Joint Conference on Neural Networks （2024 IJCNN）
Special Session : Neural network-based methods for Human-Centric Perception and Understanding
Important Dates (For deadline extensions, go to IEEE WCCI 2024 website，https://2024.ieeewcci.org/)
n 5th January 2024 - Early Registration
n 15th January 2024 29th January 2024 – Paper submission deadline
n 15th March 2024 – Paper acceptance notification
n 30th June – 5th July 2024 – IEEE WCCI 2024, YOKOHAMA, Japan
Aim & Scope
Human-centric perception and understanding have been a long-standing focus of the computer vision and machine learning communities. It involves a wide range of research tasks and applications, such as person re-identification (ReID) in surveillance, human parsing and pose estimation in the metaverse, and pedestrian detection in autonomous driving. In the past decades, we have witnessed the success of using Convolutional Neural Network and Transformer based methods for tackling these tasks. On the other aspects, there are still many unresolved challenges in human-centric perception and understanding, e.g., Person ReID in low-light conditions, pedestrian detection in crowded scenarios.
In this special session, we invite researchers to contribute original research papers devoted to innovative methods and novel applications of using neural networks for human-centric perception and understanding.
Topics include but are not limited to:
l Person re-identification
l Human parsing and pose estimation
l Pedestrian detection in the wild
l Text and image-based cross-modality person search
l Human behavior analysis
l Human action recognition
l Person tracking across different cameras
l Person counting in crowd scenarios
l Human–object interaction video recognition
l Human centered environmental perception and recognition
Session Chairs:
Prof. Min Jiang, Xiamen University, China
Prof. Zhiming Luo, Xiamen University, China
Prof. Kay Chen Tan, Hong Kong Polytechnic University，Hong Kong SAR
Session Committee:
Prof. Songzhi Su, Xiamen University, China
Prof. Zhun Zhong, University of Nottingham, UK
Dr. Zilong Zhong, McMaster University, Canada
Dr. Chengji Wang, Central China Normal University, China
Prof. Sheng Lian, Fuzhou University, China
Dr. Hong Liu, National Institute of Informatics, Japan
Dr. Xiaoqiang Wu, Inner mongolia Minzu university, China
Dr. Xiaofan Deng, Tianjin University of Technology and Education, China
Dr. Shiying Sun, Institute of Automation, Chinese Academy of Sciences, China
Dr. Hongjun Yang, Institute of Automation, Chinese Academy of Sciences, China
Dr. Dongxu Zhang, Xiamen University, China
Paper Submission
IEEE WCCI 2024 adopts EDAS as the submission system, available at the following link: https://edas.info/N31614. Papers submitted to this Special Session are reviewed according to the same rules as the submissions to the regular sessions of IEEE WCCI 2024. Authors who submit papers to this session are invited to select “IJCNN Special Session: Neural Network-Based Methods for Human-Centric Perception and Understanding”.
Submissions to regular and special sessions follow identical format, instructions, deadlines and procedures of the other papers. For further information and news, please refer to the WCCI 2024 website: https://2024.ieeewcci.org/)
